Principal Data Developer

BlueCat • Toronto, ON

7d • CA$160,000 - CA$180,000

About The Position

The BlueCat Cloud Platform team is dedicated to powering all BlueCat SaaS products. Our mission is to deliver these products on a reliable, fast, globally distributed, and cost-effective enterprise-grade cloud infrastructure. A key aspect of this mission is our scalable data service, which supports the growth of BlueCat's data-driven products. We are seeking a highly skilled Data Principal Engineer with strong leadership, communication, and collaboration abilities to join our dynamic team. In this exciting role, you will help us automate a robust and scalable data service used by numerous teams across the company.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 10+ years of hands-on experience designing and building large-scale distributed data platforms, with deep expertise in OLAP databases, query engines, data lakes, object storage, distributed file systems, and analytics infrastructure.
• Proven expert-level experience with ClickHouse architecture, performance optimization, cluster design, data modeling, ingestion pipelines, storage engines, replication, partitioning, and large-scale analytical workloads.
• Strong experience building modern data lake architectures around ClickHouse, including integration with open table formats such as Apache Iceberg, Parquet, and Delta Lake.
• Excellent software engineering and coding skills with production experience in Python (including async programming), Golang, and C/C++.
• Deep understanding of high-performance data processing, vectorized query execution, parallel/distributed compute frameworks, and low-latency analytical systems.
• Experience with modern data processing and analytics frameworks such as Pandas, Polars, DuckDB, Dask, Ray, Prefect, Bodo, or equivalent technologies.
• Passion for designing and building scalable, high-quality REST APIs and distributed services, while mentoring other engineers in API and platform design best practices.
• Strong expertise in infrastructure optimization, performance engineering, scalability, reliability, and operational excellence, with the ability to drive measurable improvements in latency, throughput, and availability.
• Strong understanding of cloud-native distributed systems, including Kubernetes, containers, CI/CD, observability, infrastructure automation, and production operations.
• Experience deploying and operating large-scale data platforms in AWS; experience with GCP and Azure is considered a plus.
• Strong understanding of networking and distributed systems fundamentals, including TCP/IP, DNS, HTTP/S, service discovery, and secure service-to-service communication.
• Demonstrated engineering rigor with a strong focus on software architecture, testing strategies, security, privacy, resiliency, and operational ownership.
• Ability to independently lead architecture, design, development, testing, deployment, and production operations of complex distributed data systems from day one.
• Strong communication and leadership skills, with the ability to collaborate effectively across engineering, product, architecture, and executive stakeholders.
• Experience influencing technical direction, mentoring senior engineers, and acting as a technical leader for strategic platform initiatives.

Nice To Haves

• Kubernetes certifications such as CKAD, CKA, or equivalent cloud-native platform experience.

Responsibilities

• Building our data lake, maintaining our data pipelines / services and facilitating the movement of messages and implementing data analytics jobs.
• Working directly with the Application teams and Platform teams to enable growth of the BlueCat data-driven products.
• Design, develop, and operate highly reliable large-scale data lake.
• Partner closely with Applications teams to understand requirements and influence the Data strategy by providing expert advice on design and architecture.
• Make critical decisions regarding technical directions, scalability, and system performance.
• Collaborate with cross-functional teams to create innovative solutions.
• Optimize network configurations to ensure low-latency communication and high availability.
• Implement data protection mechanisms to safeguard critical data processed from the edge to the core.

Benefits

• participation in a discretionary bonus plan
• Professional Development Budget
• Dedicated Wellness Days and Wellness Week
• A Lifestyle Spending Account
• An Employee Recognition Program

What This Job Offers

• Job Type: Full-time
• Career Level: Principal